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Sahibzada Muhammad Ahmad Umair and Tughrul Arslan
Over the past decade, the demand and research for indoor localization have burgeoned and Wi-Fi fingerprinting approach has been widely considered because it is cheap and accessible. However, most existing methods lack in terms of positioning accuracy and...
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Yinhuan Dong, Duanxu Shi, Tughrul Arslan and Yunjie Yang
Researchers have explored multiple Wi-Fi features to estimate user locations in indoor environments in the past decade, such as Received Signal Strength Indication (RSSI), Channel State Information (CSI), Time of Arrival (TOA), and Angle of Arrive (AoA)....
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Taehoon Kim, Kyoung-Sook Kim and Ki-Joune Li
With the development of indoor positioning methods, such as Wi-Fi positioning, geomagnetic sensor positioning, Ultra-Wideband positioning, and pedestrian dead reckoning, the area of location-based services (LBS) is expanding from outdoor to indoor spaces...
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Tao Pei, Yaxi Liu, Hua Shu, Yang Ou, Meng Wang and Lianming Xu
Offline stores are seriously challenged by online shops. To attract more customers to compete with online shops, the patterns of customer flows and their influence factors are important knowledge. To address this issue, we collected indoor positioning da...
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Fan Xu, Xuke Hu, Shuaiwei Luo and Jianga Shang
Wi-Fi fingerprinting has been widely used for indoor localization because of its good cost-effectiveness. However, it suffers from relatively low localization accuracy and robustness owing to the signal fluctuations. Virtual Access Points (VAP) can effec...
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Yankun Wang, Renzhong Guo, Weixi Wang, Xiaoming Li, Shengjun Tang, Wei Zhang, Luyao Wang, Liang Chen, You Li and Wenqun Xiu
Indoor positioning is of great importance in the era of mobile computing. Currently, considerable focus has been on RSS-based locations because they can provide position information without additional equipment. However, this method suffers from two chal...
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Alwin Poulose, Jihun Kim and Dong Seog Han
Sensor fusion frameworks for indoor localization are developed with the specific goal of reducing positioning errors. Although many conventional localization frameworks without fusion have been improved to reduce positioning error, sensor fusion framewor...
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Shixiong Xia, Yi Liu, Guan Yuan, Mingjun Zhu and Zhaohui Wang
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Kun An, Siyang Xie, Yanfeng Ouyang
Pág. 228 - 245
Object positioning and surveillance has been playing an important role in various indoor location-aware applications. Signal attenuation or blockage often requires multiple local sensors to be used jointly to provide coverage and determine object locatio...
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Dr. Yousef Ibrahim Daradkeh,Dmitri Namiot,Manfred Schneps-Schneppe
Pág. pp. 13 - 17
This paper describes a new model for delivering hyper-local data to mobile subscribers. Our model uses any exiting or especially created Wi-Fi hot spot as presence sensor that can open access for some user-generated content. In our approach we can descri...
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